The business analyst shared the statistical data from the marketing and analytics team which greatly helped us understand the invisible problem as quoted by the business. Until this POC, the Pizza Hut US iOS app used a wrapper in an application that displays a responsive webpage within the native application.

The business analyst shared the statistical data from the marketing and analytics team which greatly helped us understand the invisible problem as quoted by the business. Until this POC, the Pizza Hut US iOS app used a wrapper in an application that displays a responsive webpage within the native application.

The business analyst shared the statistical data from the marketing and analytics team which greatly helped us understand the invisible problem as quoted by the business. Until this POC, the Pizza Hut US iOS app used a wrapper in an application that displays a responsive webpage within the native application.

The mobile application is not generating enough traffic as expected. The number of orders from the mobile application is far less than what was estimated.

The mobile application is not generating enough traffic as expected. The number of orders from the mobile application is far less than what was estimated.

The mobile application is not generating enough traffic as expected. The number of orders from the mobile application is far less than what was estimated.

We came up with 2 personas - Romesh and Gabriella to address most of what was heard from the kick-off meetings and the research findings shared with us. 

We came up with 2 personas - Romesh and Gabriella to address most of what was heard from the kick-off meetings and the research findings shared with us. 

In the following carousal,

• The tasks performed by the user are listed.
  
• The various rubrics we used like Average Time-taken, Average user rating, and Average User Emotion.
• The various issues listed or observed by the users are also listed down.
• The dots represent the number of participants with the color indicating if it is successful or not. 
  

Impact maps are a great way to communicate the needs of the users, business needs, the pain points of the users, the impacts due to the pain points and the solutions to address those pain points. This helped my team to stay focused on the pain points and the impacts. Impact maps focus more on the tasks rather than the personas. The impact map encapsulates the entirety of the proof of concepts.

Impact maps are a great way to communicate the needs of the users, business needs, the pain points of the users, the impacts due to the pain points and the solutions to address those pain points. This helped my team to stay focused on the pain points and the impacts. Impact maps focus more on the tasks rather than the personas. The impact map encapsulates the entirety of the proof of concepts.

We screened 12 potential participants and selected 6 participants based on their digital literacy and competency with using any voice assistant. We had equal representation of gender and their proficiency to speak in English. The only shortcoming of this demographic is that all our participants were students between the age group 23 to 35. 

Before I started with the paper sketches, it was essential to understand what I am designing. Hence, having a good information structure will help will aid product concepts. I came up with an information architecture that incorporates some of the ideas (Red stars) to address the pain points listed in the personas. 

Before I started with the paper sketches, it was essential to understand what I am designing. Hence, having a good information structure will help will aid product concepts. I came up with an information architecture that incorporates some of the ideas (Red stars) to address the pain points listed in the personas. 

We screened 12 potential participants and selected 6 participants based on their digital literacy and competency with using any voice assistant. We had equal representation of gender and their proficiency to speak in English. The only shortcoming of this demographic is that all our participants were students between the age group 23 to 35. 

Sketching the layout of the application helped us reiterate quickly with the business analysts from a business point of view. Paper sketches also helped to quickly prototype with my colleagues to see if the flow of the ordering process is intuitive and flexible.  

Sketching the layout of the application helped us reiterate quickly with the business analysts from a business point of view. Paper sketches also helped to quickly prototype with my colleagues to see if the flow of the ordering process is intuitive and flexible.  

We screened 12 potential participants and selected 6 participants based on their digital literacy and competency with using any voice assistant. We had equal representation of gender and their proficiency to speak in English. The only shortcoming of this demographic is that all our participants were students between the age group 23 to 35. 

After getting feedback from the business analysts and the senior designer to map requirements with user needs, low fidelity wireframes were created to produce a tangible deliverable to the stakeholders of Pizza Hut. Once the functionality was established, low fidelity wireframes along with the impact map helped me to explain the flow to the developers to discuss potential technical constraints or feasibility issues. Involving the lead developer in most of the meetings proved valuable to understand the developmental effort perspectives for this short term POC engagement.

After getting feedback from the business analysts and the senior designer to map requirements with user needs, low fidelity wireframes were created to produce a tangible deliverable to the stakeholders of Pizza Hut. Once the functionality was established, low fidelity wireframes along with the impact map helped me to explain the flow to the developers to discuss potential technical constraints or feasibility issues. Involving the lead developer in most of the meetings proved valuable to understand the developmental effort perspectives for this short term POC engagement.

We screened 12 potential participants and selected 6 participants based on their digital literacy and competency with using any voice assistant. We had equal representation of gender and their proficiency to speak in English. The only shortcoming of this demographic is that all our participants were students between the age group 23 to 35.